La participación humana con el auge de la inteligencia artificial en el ámbito de la Salud Geoespacial

In the era of Web 3, digital currencies and virtual cities, human decision-making is very special. In It´s crucial to examine human responses alongside artificial intelligence in the healthcare field following an event and to create a collaborative geographic system based on modern technology. The ultimate goal is the restoration of countries´ essential services prioritizing health. In this research, spatial questions were conducted by considering public opinion, stakeholders, and decision makers under varying mental and emotional conditions. additionally, two different statistical and ranking methods were employed to comprehend the intricacies of individuals' mental states in a mathematical environment. All these methods were executed using software designed for location-based decision making under equal conditions. This paper focuses on a specific region, as an example applicable to a country or even to a larger scale. The results showed that time factors are completely related to decision criteria. While emerging technologies are promising, complete reliance on artificial intelligence for decision-making is misguided. Human choices are intrinsic to decision-making, and therefore, all relevant criteria for spatial decision-making have been considered. This pioneering study, conducted for the first time, showed that human choices can be optimal in different situations with similar conditions. Meanwhile, artificial intelligence only makes logical decisions that are not compatible with human thinking. The ongoing research holds potential value for neurologists or mental health specialists emphasizing the significance of geographical sciences in urban development. While it´s conceivable that medical issues and events can be addressed with artificial intelligence it appears that at least for the next few decades, even with the advancement of artificial intelligence, human presence remains essential in healthcare decision-making.En el mundo de la Web 3, las monedas digitales y las ciudades virtuales, las decisiones humanas son muy especiales. De hecho, es muy importante explicar la respuesta humana y la inteligencia artificial en el campo de la salud después de un evento y crear un sistema geográfico colaborativo basado en tecnología moderna para que este proceso conduzca al restablecimiento de servicios esenciales con prioridad de salud pública en un país. En esta investigación, se realizaron preguntas espaciales de acuerdo con la opinión pública, los actores interesados y los tomadores de decisiones en diferentes condiciones mentales y emocionales. Además, se utilizaron dos métodos estadísticos y de clasificación diferentes para comprender la extrañeza de las condiciones mentales de las personas en el entorno matemático. Todos los métodos mencionados fueron realizados mediante el software diseñado para la toma de decisiones de ubicación en igualdad de condiciones. Se investigó una región como ejemplo que puede generalizarse a un país e incluso a una escala mayor. Los resultados muestran que los factores tiempo están completamente relacionados con los criterios de decisión. Usar tecnologías emergentes es genial, pero dejar que la inteligencia artificial tome decisiones es completamente incorrecto. El hombre vive de sus elecciones para tomar decisiones, por lo tanto, utiliza todos los criterios relevantes en la toma de decisiones espaciales. Este estudio pionero, muestra que los humanos pueden tomar decisiones óptimas en diferentes situaciones según las mismas condiciones. Pero la inteligencia artificial sólo toma decisiones lógicas que no son compatibles con la mentalidad humana. La continuación de esta investigación presenta un valor potencial para ser utilizada por neurólogos o especialistas en salud mental enfatizando la importancia de las ciencias geográficas en el desarrollo urbano. Quizás sea posible resolver problemas y eventos médicos con inteligencia artificial, pero pareciera que al menos durante las próximas décadas, incluso con la aparición y continuidad de la inteligencia artificial, no será posible tomar decisiones en el ámbito de la salud sin la presencia de los humanos

Conceptual Explanation of Spatial Mismatch Fields of Job and Residence in urban spaces with emphasis on Iran

Spatial Mismatch theory is one of the theories that examine poverty and inequality in the social-Spatial structure of cities. The aim of the present study was to "conceptually explain the grounds for Spatial Mismatch of work and residence", especially in the cities of developing countries and Iran. This research is theoretical-applied in nature and descriptive-analytical in terms of method. In addition, discourse analysis has been used to explain the fields of formation and the lack of Spatial Mismatch. According to the findings of the present study, Spatial Mismatches in the Great Fields (global and Inclusive changes such as the expansion of Ford-Keynesian and neoliberal , Post Fordism) and its most objective layer (the inequality between access to Appropriate work and access to housing in urban structure and space), are similar.However, geographically, the focus of Spatial Mismatch in developing countries, in contrast to the US, is mostly on the suburb of cities.While Spatial Mismatch in the United States is influenced by unequal racial-ethnic contexts, development of transportation technology, suburbanization, industrialization, and the establishment of industries and factories, in developing countries it is mainly due to its "unequal structure of international economic relations," "implementation." External development strategies include "unequal socio-spatial construction", "getting caught up in the traps of development traps" (political instability, selling natural resources, spreading the consequences of neighborly instability, inefficient governance), and “traps of poverty and corruption" and “unstable pattern of urban development"